TY - GEN
T1 - Mining Personal Health Satisfaction and Disease Index from Medical Examinations
AU - Li, Chunshan
AU - Guo, Xiao
AU - Chu, Dianhui
AU - Xu, Chongyun
AU - Tu, Zhiying
N1 - Publisher Copyright:
© 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
PY - 2021
Y1 - 2021
N2 - People have regular medical examinations every year, the primary purpose of these is not only to discover a specific disease but to have a clear overview of their current health. Therefore, it is essential to be able to scientifically analyze and evaluate the results of medical examinations, and provide people with comprehensive feedback on physical health satisfaction (PHS) or a specific disease index (DI) feedback. PHS can reflect the current state of a person’s body directly. In this paper, we propose a framework for calculating personal PHS and DI, by which the process of assessing people’s health is indicated. We use the public dataset of the National Center for Health and Nutrition to conduct a scientific analysis of the population medical examinations data. Finally, based on a comprehensive experiment of 6166 participants’ medical examinations data and some experiments with data from participants with heart disease, we verified the effectiveness of the proposed framework.
AB - People have regular medical examinations every year, the primary purpose of these is not only to discover a specific disease but to have a clear overview of their current health. Therefore, it is essential to be able to scientifically analyze and evaluate the results of medical examinations, and provide people with comprehensive feedback on physical health satisfaction (PHS) or a specific disease index (DI) feedback. PHS can reflect the current state of a person’s body directly. In this paper, we propose a framework for calculating personal PHS and DI, by which the process of assessing people’s health is indicated. We use the public dataset of the National Center for Health and Nutrition to conduct a scientific analysis of the population medical examinations data. Finally, based on a comprehensive experiment of 6166 participants’ medical examinations data and some experiments with data from participants with heart disease, we verified the effectiveness of the proposed framework.
KW - Health analysis
KW - Personal disease index
KW - Personal health satisfaction
UR - https://www.scopus.com/pages/publications/85119434620
U2 - 10.1007/978-3-030-89814-4_46
DO - 10.1007/978-3-030-89814-4_46
M3 - 会议稿件
AN - SCOPUS:85119434620
SN - 9783030898137
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 633
EP - 646
BT - Mobile Multimedia Communications - 14th EAI International Conference, Mobimedia 2021, Proceedings
A2 - Xiong, Jinbo
A2 - Wu, Shaoen
A2 - Peng, Changgen
A2 - Tian, Youliang
PB - Springer Science and Business Media Deutschland GmbH
T2 - 14th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2021
Y2 - 23 July 2021 through 25 July 2021
ER -